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» Robust Online Appearance Models for Visual Tracking
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ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
14 years 1 months ago
A New Approach to the Use of Edge Extremities for Model-based Object Tracking
— This paper presents a robust model-based visual tracking algorithm that can give accurate 3D pose of a rigid object. Our tracking algorithm uses an incremental pose update sche...
Youngrock Yoon, Akio Kosaka, Jae Byung Park, Avina...
ICIP
2007
IEEE
14 years 9 months ago
Mining Auxiliary Objects for Tracking by Multibody Grouping
On-line discovery of some auxiliary objects to verify the tracking results is a novel approach to achieving robust tracking by balancing the need for strong verification and compu...
Ming Yang, Ying Wu, Shihong Lao
CVPR
2004
IEEE
14 years 9 months ago
A Rao-Blackwellized Particle Filter for EigenTracking
Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black's influential paper on EigenTracking, they were successfully appl...
Zia Khan, Tucker R. Balch, Frank Dellaert
ICIP
2005
IEEE
14 years 9 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...